Table 4 Sensitivity, specificity, and accuracy of combining various feature extraction methods with various classifiers to distinguishing between Set E (ictal) and Set D (interictal).
From: Combination of EEG Complexity and Spectral Analysis for Epilepsy Diagnosis and Seizure Detection
Window size | Classifier | Feature selection | Sensitivity | Specificity | Accuracy |
|---|---|---|---|---|---|
173 | LLS | All features | 95.98 (1.4) | 95.14 (1.0) | 95.56 (0.8) |
| Â | Â | GA | 95.90 (1.3) | 94.66 (1.6) | 95.28 (0.9) |
| Â | Â | ApEn + AR model | 95.88 (0.8) | 94.85 (1.6) | 95.36 (0.8) |
| Â | LDA | All features | 95.98 (1.4) | 95.14 (1.0) | 95.56 (0.8) |
| Â | Â | GA | 95.79 (0.9) | 94.82 (1.3) | 95.30 ( 0.7) |
| Â | Â | ApEn + AR model | 95.88 (0.8) | 94.85 (1.6) | 95.36 (0.8) |
| Â | BP | All features | 95.90 (0.9) | 95.41 (1.2) | 95.66 (0.7) |
| Â | Â | PCA | 95.89 (1.0) | 94.65 (1.2) | 95.27 (0.6) |
| Â | Â | GA | 95.67 (1.3) | 94.49 (1.9) | 95.08 (1.1) |
| Â | Â | ApEn + AR model | 93.47 (2.0) | 94.95 (1.4) | 94.21 (1.2) |
| Â | LISVM | All features | 95.68 (1.0) | 95.62 (1.2) | 95.65 (0.8) |
| Â | Â | PCA | 95.46 (1.4) | 95.16 (1.1) | 95.31 (0.8) |
| Â | Â | GA | 95.27 (1.5) | 95.29 (1.0) | 95.28 (0.9) |
| Â | Â | ApEn + AR model | 94.68 (1.2) | 94.73 (1.6) | 94.71 (1.0) |
| Â | RBFSVM | All features | 96.04 (1.1) | 95.29 (1.2) | 95.67 (0.7) |
| Â | Â | PCA | 95.95 (1.5) | 95.09 (1.2) | 95.52 (0.9) |
| Â | Â | GA | 95.86 (1.0) | 95.32 (1.8) | 95.59 (0.9) |
| Â | Â | ApEn + AR model | 92.84 (2.9) | 93.54 (1.8) | 93.19 (1.6) |
256 | LLS | All features | 95.48 (1.8) | 96.20 (1.5) | 95.84 (1.2) |
| Â | Â | GA | 95.27 (1.7) | 95.88 (1.3) | 95.57 (1.2) |
| Â | Â | ApEn + AR model | 96.23 (0.6) | 95.08 (2.2) | 95.66 (1.2) |
| Â | LDA | All features | 95.48 (1.8) | 96.20 (1.5) | 95.84 (1.2) |
| Â | Â | GA | 94.64 (1.8) | 96.34 (1.2) | 95.49 (1.2) |
| Â | Â | ApEn + AR model | 96.23 (0.6) | 95.08 (2.2) | 95.66 (1.2) |
| Â | BP | All features | 96.03 (1.2) | 95.70 (1.3) | 95.87 (0.9) |
| Â | Â | PCA | 95.72 (1.1) | 96.03 (1.3) | 95.88 (0.6) |
| Â | Â | GA | 95.75 (1.4) | 95.03 (1.5) | 95.39 (0.9) |
| Â | Â | ApEn + AR model | 93.34 (2.5) | 95.58 (1.6) | 94.46 (1.3) |
| Â | LISVM | All features | 95.61 (1.3) | 96.41 (1.4) | 96.01 (0.9) |
| Â | Â | PCA | 95.19 (1.2) | 96.11 (1.6) | 95.65 (1.0) |
| Â | Â | GA | 95.19 (1.2) | 95.91 (1.4) | 95.55 (0.7) |
| Â | Â | AR model | 94.67 (1.7) | 95.06 (1.9) | 94.87 (1.4) |
| Â | RBFSVM | All features | 96.34 (1.4) | 96.53 (1.3) | 96.44 (0.9) |
| Â | Â | PCA | 96.28 (1.3) | 96.38 (1.4) | 96.33 (1.0) |
| Â | Â | GA | 95.67 (1.2) | 95.81 (1.3) | 95.74 (0.9) |
| Â | Â | ApEn + AR model | 92.39 (3.8) | 93.88 (2.1) | 93.13 (2.1) |
512 | LLS | All features | 96.03 (2.0) | 96.56 (1.8) | 96.30 (1.4) |
| Â | Â | GA | 95.91 (2.0) | 96.47 (1.8) | 96.19 (1.4) |
| Â | Â | ApEn + AR model | 96.44 (0.8) | 95.38 (2.1) | 95.91 (1.1) |
| Â | LDA | All features | 96.30 (2.0) | 96.56 (1.8) | 96.30 (1.4) |
| Â | Â | GA | 96.03 (1.9) | 96.03 (1.7) | 96.03 (1.4) |
| Â | Â | ApEn + AR model | 96.44 (0.8) | 95.38 (2.1) | 95.91 (1.1) |
| Â | BP | All features | 96.63 (1.3) | 95.88 (1.7) | 96.25 (1.0) |
| Â | Â | PCA | 96.44 (1.5) | 95.78 (1.3) | 96.11 (0.8) |
| Â | Â | GA | 96.41 (1.9) | 95.47 (1.8) | 95.94 (0.7) |
| Â | Â | ApEn + AR model | 94.25 (1.4) | 95.56 (2.0) | 94.91 (1.1) |
| Â | LISVM | All features | 96.91 (1.2) | 96.59 (1.6) | 96.75 (1.0) |
| Â | Â | PCA | 94.47 (3.6) | 98.57 (0.8) | 97.75 (0.6) |
| Â | Â | GA | 96.88 (1.4) | 96.16 (1.7) | 96.52 (1.0) |
| Â | Â | ApEn + AR model | 93.94 (2.4) | 94.88 (2.6) | 94.41 (1.7) |
| Â | RBFSVM | All features | 97.22 (1.3) | 96.63 (1.6) | 96.92 (1.1) |
| Â | Â | PCA | 97.00 (2.0) | 99.18 (0.6) | 98.74 (0.5) |
| Â | Â | GA | 96.44 (1.5) | 96.13 (1.4) | 96.28 (0.9) |
| Â | Â | ApEn + AR model | 92.00 (4.1) | 94.53 (2.6) | 93.27 (2.3) |